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다층형 이중외피가 설치된 사무소 건물의 겨울철 운영 전략
조재완(Jae-Wan Joe),최원준(Won-Jun Choi),이소연(So-Yeun Lee),허정호(Jung-Ho Huh) 대한설비공학회 2011 대한설비공학회 학술발표대회논문집 Vol.2011 No.7
In this paper, heating energy saving strategies for winter are proposed for office buildings with a multi-story double skin fa?ade. Based on a model that was validated with measured data, two alternative operation strategies were analyzed. A model that introduces heated air in the cavity to the indoors by openable windows(Case 2) and a model that combines it with HVAC by using a cavity as a preheating space(Case 3) were compared with the conventional model(Case 1). The results of the comparison showed that the Case 2 and 3 reduced the heating energy by about 3.4 and 37.9% respectively.
상업 건물의 모델기반 예측제어를 위한 분산 최적화 기반 그레이박스 모델 개발
조재완(Joe, Jaewan) 대한건축학회 2021 대한건축학회 학술발표대회 논문집 Vol.41 No.2
The main issue of implementing the model-based predictive control (MPC) to actual building is estimating the control-oriented building model due to the computational burden and model complexity. This study investigates the applicability of the decentralized optimization method to solve the issue. The real data from the actual building was used for grey-box model development. The decentralized splits the multi-zone building into small scale zone and individual optimization is carried out seperately. Then the thermally coupled resistance between the zones are selected for the parametric optimizarion. Final results show the fair prediction performance of the developed grey-box building model that can be used for the MPC.
실측 데이터 기반 교육시설 건물의 Grey-box 모델 개발 및 MPC 시뮬레이션
최광원(Choi Kwangwon),조재완(Joe Jaewan) 한국태양에너지학회 2022 한국태양에너지학회 논문집 Vol.42 No.3
This study aimed to develop a grey-box building model in a zone of a high-rise building on a university campus and to simulate model-based predictive control. Grey-box modeling was performed using various indoor and external environment data measured within a single-person office space on a high floor. The residence schedule was indirectly calculated using values such as indoor CO2 concentration and plug power. In addition, the catalog rating value was applied as the cooling energy value of the indoor 4-ways air conditioner as this could not be measured. Measurements were performed for approximately 4-weeks, and operating data of the heat pump and non-operating (i.e., free-floating) data were obtained according to the weekday and weekend schedules. The grey-box model was parameterized using the linear time-invariant and linear time-variant models. Both models showed good predictive performance with a root mean square error of less than 1℃ in the 2-week estimation and 2-week validation results. Based on these results, an MPC simulation was performed. MPC simulation in a single zone were conducted for various electricity cost structures to derive quantitative electricity cost savings compared to those of feedback control.